Chapter 1

Machine Learning

Linear Regression

Logistic Regression

Projects for Building ML Model

You can work on these as a beginner:

1. Predicting house prices based on various features like location, number of bedrooms, etc.
2. Identifying and classifying handwritten digits using the MNIST dataset.
3. Sentiment analysis of customer reviews for a product or service.
4. Predicting whether a customer will churn or not for a telecom company.
5. Image classification for identifying different objects or animals in an image.
6. Clustering customers based on their shopping patterns and purchase history.
7. Anomaly detection in network traffic or credit card transactions.
8. Predicting employee attrition for a company.
9. Spam classification for emails or messages.